Onto Innovation Correlations

ONTO Stock

USD 96.95 1.75 1.77%

The current 90-days correlation between Onto Innovation and Camtek is 0.52 (i.e., Very weak diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Onto Innovation moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Onto Innovation moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Onto Innovation Correlation With Market

Weak diversification

The correlation between Onto Innovation and DJI is 0.36 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Onto Innovation and DJI in the same portfolio, assuming nothing else is changed.

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Moving against Onto Stock

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0.37	NVMI	Nova	Pair Corr
0.35	CAMT	Camtek	Pair Corr
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0.69	CSCO	Cisco Systems	Pair Corr
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0.64	COHR	Coherent	Pair Corr

Related Correlations Analysis

	CAMT	ASYS	VECO	ICHR	COHU	PLAB	UCTT	ACLS	IPGP	TER
CAMT		0.87	0.72	0.74	0.89	0.32	0.86	0.86	0.84	0.93	CAMT
ASYS	0.87		0.63	0.53	0.83	0.15	0.7	0.84	0.82	0.87	ASYS
VECO	0.72	0.63		0.47	0.87	0.54	0.74	0.84	0.83	0.86	VECO
ICHR	0.74	0.53	0.47		0.59	0.41	0.83	0.45	0.52	0.62	ICHR
COHU	0.89	0.83	0.87	0.59		0.42	0.82	0.92	0.95	0.96	COHU
PLAB	0.32	0.15	0.54	0.41	0.42		0.56	0.43	0.37	0.4	PLAB
UCTT	0.86	0.7	0.74	0.83	0.82	0.56		0.74	0.75	0.84	UCTT
ACLS	0.86	0.84	0.84	0.45	0.92	0.43	0.74		0.9	0.95	ACLS
IPGP	0.84	0.82	0.83	0.52	0.95	0.37	0.75	0.9		0.92	IPGP
TER	0.93	0.87	0.86	0.62	0.96	0.4	0.84	0.95	0.92		TER
	CAMT	ASYS	VECO	ICHR	COHU	PLAB	UCTT	ACLS	IPGP	TER

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Risk-Adjusted Indicators

There is a big difference between Onto Stock performing well and Onto Innovation Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Onto Innovation's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

	Mean Deviation	Jensen Alpha	Sortino Ratio	Treynor Ratio	Semi Deviation	Expected Shortfall	Potential Upside	Value @Risk	Maximum Drawdown
CAMT	2.12	0.53	0.24	0.56	1.70	(2.39)	6.68	(3.61)	11.93
ASYS	2.64	0.18	0.07	0.29	2.73	(3.24)	6.03	(6.11)	20.26
VECO	2.11	(0.04)	0.03	0.11	2.11	(2.44)	5.35	(3.48)	13.89
ICHR	3.08	0.15	0.06	0.19	4.81	(3.21)	8.28	(5.50)	33.78
COHU	2.13	0.28	0.16	0.30	1.90	(2.47)	6.05	(3.61)	13.20
PLAB	1.80	(0.05)	0.00	0.10	3.09	(1.94)	4.09	(3.67)	21.52
UCTT	2.80	0.13	0.08	0.19	3.36	(3.30)	8.15	(4.96)	23.72
ACLS	2.32	0.71	0.20	(2.57)	2.20	(2.68)	6.44	(4.54)	13.36
IPGP	1.80	0.27	0.12	0.28	2.43	(1.86)	3.78	(2.94)	18.19
TER	1.89	0.16	0.15	0.23	1.53	(2.39)	5.62	(2.94)	10.58

Onto Innovation Corporate Management

Edward Brown	Independent Director	Profile
Jeffrey Aukerman	Independent Director	Profile
Rodney Smedt	Senior Vice President General Manager - Metrology Business Unit	Profile
Brian CPA	Chief Officer	Profile
Yoon OH	Vice President General Counsel	Profile
Shirley Chen	Senior success	Profile
Christine Tsingos	Independent Director	Profile

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